Jobs at IVIX

Lead strategic partnerships with state tax agencies, translate regulatory challenges into measurable AI-driven solutions, own end-to-end delivery from Proof of Value to deployment, represent customer needs to Product/R&D/Sales, and drive renewals and long-term client success.

Lead strategic partnerships with state tax agencies, translate regulatory challenges into measurable AI-driven solutions, and own end-to-end delivery from Proof of Value to deployment. Serve as customer voice to Product, R&D, Data Solutions, and Sales, identify renewal/expansion opportunities, manage stakeholder expectations, mitigate risks, and ensure long-term client success across Central and Eastern US.

Lead the deployment of an AI-powered solution across client environments, managing technical operations, interactions with clients, and the deployment lifecycle.

The role involves developing and maintaining data-intensive web applications, working on both frontend and backend systems, and collaborating closely with Product & Design teams.

The Business Solutions Partner leads partnerships with state tax agencies, translating regulatory challenges into solutions while managing end-to-end delivery cycles for client success.

The role involves end-to-end feature development, enhancing engineering architecture, working collaboratively with teams, and delivering scalable, high-quality code.

Design, implement, and maintain cloud infrastructure and DevOps processes, ensuring reliable deployment and performance. Collaborate with teams to enhance security and operational practices.

The Solution Engineer leads the deployment of the IVIX platform, providing technical support and collaborating with teams to ensure successful client engagement.

As a Senior R&D Data Analyst, you will oversee data integrity, perform data validation, collaborate with teams on data needs, and provide insights from complex datasets.

The Senior Data Engineer will design and scale data infrastructure, build robust pipelines, and collaborate with teams to improve data quality and performance.

The AI/ML Engineer will design and implement LLM-powered systems, integrate APIs, optimize RAG pipelines, and work collaboratively to extract insights from data.